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Author: Sally Vanson
Publisher: John Murray
Published: 2011-07-29
Total Pages: 82
ISBN-13: 1444141589
DOWNLOAD EBOOKAre you facing nerve-wracking data interpretation tests as part of a job application, training or a bid for promotion? Get a kick-start with this little book which will give you just enough to get you going...
Author: Nate Silver
Publisher: Penguin
Published: 2015-02-03
Total Pages: 577
ISBN-13: 0143125087
DOWNLOAD EBOOK"One of the more momentous books of the decade." —The New York Times Book Review Nate Silver built an innovative system for predicting baseball performance, predicted the 2008 election within a hair’s breadth, and became a national sensation as a blogger—all by the time he was thirty. He solidified his standing as the nation's foremost political forecaster with his near perfect prediction of the 2012 election. Silver is the founder and editor in chief of the website FiveThirtyEight. Drawing on his own groundbreaking work, Silver examines the world of prediction, investigating how we can distinguish a true signal from a universe of noisy data. Most predictions fail, often at great cost to society, because most of us have a poor understanding of probability and uncertainty. Both experts and laypeople mistake more confident predictions for more accurate ones. But overconfidence is often the reason for failure. If our appreciation of uncertainty improves, our predictions can get better too. This is the “prediction paradox”: The more humility we have about our ability to make predictions, the more successful we can be in planning for the future. In keeping with his own aim to seek truth from data, Silver visits the most successful forecasters in a range of areas, from hurricanes to baseball to global pandemics, from the poker table to the stock market, from Capitol Hill to the NBA. He explains and evaluates how these forecasters think and what bonds they share. What lies behind their success? Are they good—or just lucky? What patterns have they unraveled? And are their forecasts really right? He explores unanticipated commonalities and exposes unexpected juxtapositions. And sometimes, it is not so much how good a prediction is in an absolute sense that matters but how good it is relative to the competition. In other cases, prediction is still a very rudimentary—and dangerous—science. Silver observes that the most accurate forecasters tend to have a superior command of probability, and they tend to be both humble and hardworking. They distinguish the predictable from the unpredictable, and they notice a thousand little details that lead them closer to the truth. Because of their appreciation of probability, they can distinguish the signal from the noise. With everything from the health of the global economy to our ability to fight terrorism dependent on the quality of our predictions, Nate Silver’s insights are an essential read.
Author: Roderick Jones
Publisher: Routledge
Published: 2014-04-08
Total Pages: 149
ISBN-13: 1317641833
DOWNLOAD EBOOKRoderick Jones adopts a very practical approach to both consecutive and simultaneous interpreting, providing detailed illustrations of note-taking, reformulation, the 'salami' technique, simplification, generalization, anticipation, and so on, including numerous tricks-of-the-trade such as how to handle difficult speakers and how to interpret untranslatable jokes. Numerous examples are offered at every stage, all in English or 'foreignized' English. Although primarily written as a practitioner's explanation rather than a theorist's speculation, the book includes notes on concepts such as units of meaning, translation units and discourse structure, as well as stances on more polemical issues such as the use of omission and the ethics of interpreting mistakes. The book concludes with a comment on the pleasure of conference interpreting, as well as a glossary and suggested further readings. In all, it fills a major gap in English-language publications on interpreting, providing an introduction for beginners, a down-to-earth guide for students, and a handy compendium for teachers.
Author: Gábor Békés
Publisher: Cambridge University Press
Published: 2021-05-06
Total Pages: 741
ISBN-13: 1108483011
DOWNLOAD EBOOKA comprehensive textbook on data analysis for business, applied economics and public policy that uses case studies with real-world data.
Author: Cole Nussbaumer Knaflic
Publisher: John Wiley & Sons
Published: 2015-10-09
Total Pages: 284
ISBN-13: 1119002265
DOWNLOAD EBOOKDon't simply show your data—tell a story with it! Storytelling with Data teaches you the fundamentals of data visualization and how to communicate effectively with data. You'll discover the power of storytelling and the way to make data a pivotal point in your story. The lessons in this illuminative text are grounded in theory, but made accessible through numerous real-world examples—ready for immediate application to your next graph or presentation. Storytelling is not an inherent skill, especially when it comes to data visualization, and the tools at our disposal don't make it any easier. This book demonstrates how to go beyond conventional tools to reach the root of your data, and how to use your data to create an engaging, informative, compelling story. Specifically, you'll learn how to: Understand the importance of context and audience Determine the appropriate type of graph for your situation Recognize and eliminate the clutter clouding your information Direct your audience's attention to the most important parts of your data Think like a designer and utilize concepts of design in data visualization Leverage the power of storytelling to help your message resonate with your audience Together, the lessons in this book will help you turn your data into high impact visual stories that stick with your audience. Rid your world of ineffective graphs, one exploding 3D pie chart at a time. There is a story in your data—Storytelling with Data will give you the skills and power to tell it!
Author: Dr. Reetu Singh1, Dr. Ajit Kumar2 & Dr. Kritika3
Publisher: Laxmi Book Publication
Published: 2024-04-08
Total Pages: 205
ISBN-13: 1304507475
DOWNLOAD EBOOKConverging horizons in the sector of education is one of the most emerging topic now a days. As the trend and requirements of education sector is changing, it is also changing the academic environment, level of competition, aspects of education. There are different factors which bring a drastic change in the demand for change in education, needs & wants and requirements. The study includes the detailed verification and determination of all those factors which are related to improve the English communication skills and the study also covers different strategies for learning English communication.
Author: Gururajan Govindan
Publisher: Packt Publishing Ltd
Published: 2020-07-29
Total Pages: 625
ISBN-13: 1839218126
DOWNLOAD EBOOKLearn how to analyze data using Python models with the help of real-world use cases and guidance from industry experts Key FeaturesGet to grips with data analysis by studying use cases from different fieldsDevelop your critical thinking skills by following tried-and-true data analysisLearn how to use conclusions from data analyses to make better business decisionsBook Description Businesses today operate online and generate data almost continuously. While not all data in its raw form may seem useful, if processed and analyzed correctly, it can provide you with valuable hidden insights. The Data Analysis Workshop will help you learn how to discover these hidden patterns in your data, to analyze them, and leverage the results to help transform your business. The book begins by taking you through the use case of a bike rental shop. You'll be shown how to correlate data, plot histograms, and analyze temporal features. As you progress, you'll learn how to plot data for a hydraulic system using the Seaborn and Matplotlib libraries, and explore a variety of use cases that show you how to join and merge databases, prepare data for analysis, and handle imbalanced data. By the end of the book, you'll have learned different data analysis techniques, including hypothesis testing, correlation, and null-value imputation, and will have become a confident data analyst. What you will learnGet to grips with the fundamental concepts and conventions of data analysisUnderstand how different algorithms help you to analyze the data effectivelyDetermine the variation between groups of data using hypothesis testingVisualize your data correctly using appropriate plotting pointsUse correlation techniques to uncover the relationship between variablesFind hidden patterns in data using advanced techniques and strategiesWho this book is for The Data Analysis Workshop is for programmers who already know how to code in Python and want to use it to perform data analysis. If you are looking to gain practical experience in data science with Python, this book is for you.
Author: James B. Schreiber, PhD
Publisher: Springer Publishing Company
Published: 2022-10-31
Total Pages: 329
ISBN-13: 0826165826
DOWNLOAD EBOOKTakes the fear out of statistics through a combination of visual and practical learning! "Statistical acumen and confidence have evaded many nurses for multiple reasons requiring educators to find alternate ways to bridge this knowledge gap. [This book] fills a void and meets this need. Students and educators alike will benefit from its straightforward, pragmatic style in explaining applied statistical analysis. Drawing on the deep expertise of its authors, the book should become a go-to reference for anyone looking to gain knowledge in applied statistics." —Mary Ellen Smith Glasgow, PhD, RN, ACNS-BC, ANEF, FAAN Dean and Professor Duquesne University School of Nursing The only biostatistics resource written specifically for MSN and DNP nursing students, this text provides a unique graphic representation of data to help students understand difficult analytic information. Modelled on an effective and proven method of learning—graphical illustrations first, technical details second—the text helps students understand appropriate research design, measurement, and analysis of how results are calculated. Providing a gentle progression into the complexities of statistics, it builds upon concepts step-by-step, helping students to reinforce prior knowledge before moving on the new information. Chapters initially focus on the practical application of content to illustrate how statistics are used, followed by working examples—addressing both research and evidence-based content and epidemiology and population health content—to enhance understanding and underscore the importance of the methodology. The book integrates the latest changes from the ASA related to statistical significance tested and addresses recent deliberations about sample size. Abundant Instructor Resources include PowerPoints, a test bank, data sets, information on how to obtain online programming classes, and sample lesson plans and activities. Key Features: Uses a proven, step-by-step method including a graphic representation of data followed by analytic content Follows graphical representation with examples of appropriate research design, measurement, and analysis of how results are calculated Includes a basic review checklist Provides chapter objectives, summaries, review questions, and key terms Offers data sets for those instructors/students who wish to do analyses Addresses SPSS and other software, including open source (JAMOVI, JASP, and R-Studio) Includes a comprehensive Instructor Resource Package to ensure faculty have the tools they need to work with students
Author: Matthew Hall
Publisher: CRC Press
Published: 2011-12-30
Total Pages: 354
ISBN-13: 1853158720
DOWNLOAD EBOOKThe only book dedicated to the College of Emergency Medicine's Membership examination, this book contains numerous questions and answers, together with data sets and clinical examples to help prepare candidates taking part B of this and other higher examinations in emergency medicine. All trainees wishing to pursue a career in Emergency Medicine have to have to pass the College of Emergency Medicine's own membership examination (MCEM) to enter training and pass the Fellowship examination (FCEM) to complete their Certificate of Specialist Training (CST). This book is a study guide which can be used in conjunction with standard emergency medicine texts. It follows the MCEM syllabus exactly and each chapter has three key parts: core facts which supplements revision for parts A and B, clinical scenarios, including data, which can be used to prepare for part B, and sample answers for questions. This book prepares candidates for examination success in part B, the data interpretation part of the MCEM examination. The authors are doctors all dedicated to the acute or emergency setting and who have collated extensive material to help in candidates' preparation for the MCEM examination. They have run a successful revision course for candidates taking the examination.
Author: Hadley Wickham
Publisher: "O'Reilly Media, Inc."
Published: 2016-12-12
Total Pages: 521
ISBN-13: 1491910364
DOWNLOAD EBOOKLearn how to use R to turn raw data into insight, knowledge, and understanding. This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data science fast, fluent, and fun. Suitable for readers with no previous programming experience, R for Data Science is designed to get you doing data science as quickly as possible. Authors Hadley Wickham and Garrett Grolemund guide you through the steps of importing, wrangling, exploring, and modeling your data and communicating the results. You'll get a complete, big-picture understanding of the data science cycle, along with basic tools you need to manage the details. Each section of the book is paired with exercises to help you practice what you've learned along the way. You'll learn how to: Wrangle—transform your datasets into a form convenient for analysis Program—learn powerful R tools for solving data problems with greater clarity and ease Explore—examine your data, generate hypotheses, and quickly test them Model—provide a low-dimensional summary that captures true "signals" in your dataset Communicate—learn R Markdown for integrating prose, code, and results
